Training materials
Contributors: Anup Kumar or Daniel Blankenberg or Daniel Sobral or Emily Angiolini or Jaime Morris or Jalview Coordinator or Luigi Grassi or Nicola Mulder or Prof. Tom Freeman or Sergio Martínez Cuesta
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semacu/20180223_ORCID_Chemistry_Cambridge
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semacu/20180726_TrainMalta_Unix_R
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semacu/20180531_DataVisualisationRggplot2_Wolfson_Cambridge
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semacu/20190927_IntroductionGithub_HDRUK
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semacu/20171024_GitHub_Chemistry_Cambridge
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semacu/20181003_Intro_git_GitHub
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hands-on tutorial
Pre-processing of 10X Single-Cell RNA Datasets
• beginnerTranscriptomics 10x Single Cell -
hands-on tutorial
A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
• beginnerStatistics and probability Statistics and machine learning deep-learning image-segmentation interactive-tools jupyter-lab machine-learning protein-3D-structure -
hands-on tutorial
Hands-on for 'PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis' tutorial
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hands-on tutorial
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning